SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform
暫譯: SQL Server 大數據叢集：數據虛擬化、數據湖與 AI 平台

Weissman, Benjamin, Van De Laar, Enrico

SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform
  • 出版商: Apress
  • 出版日期: 2020-05-24
  • 定價: $1,650
  • 售價: 8.0 折 $1,320
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 148425984X
  • ISBN-13: 9781484259849
  • 相關分類: MSSQL、SQL、人工智慧、大數據 Big-data

    • 立即出貨 (庫存 < 3)

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商品描述

Use this guide to one of SQL Server 2019's most impactful features--Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database.
Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL--taking advantage of skills you have honed for years--and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark.
Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.

What You Will Learn

  • Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments
  • Analyze large volumes of data directly from SQL Server and/or Apache Spark
  • Manage data stored in HDFS from SQL Server as if it were relational data
  • Implement advanced analytics solutions through machine learning and AI
  • Expose different data sources as a single logical source using data virtualization


Who This Book Is For

Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

商品描述(中文翻譯)

使用本指南來了解 SQL Server 2019 最具影響力的功能之一——大數據叢集（Big Data Clusters）。您將學習有關數據虛擬化（data virtualization）和數據湖（data lakes）的知識，這是 SQL Server 數據庫引擎內完整的人工智慧（AI）和機器學習（ML）平台。您將知道如何使用大數據叢集來結合大量的串流數據進行分析，並與存儲在傳統數據庫中的數據結合。例如，您可以實時從 Apache Spark 串流大量數據，同時執行 Transact-SQL 查詢，以從您的企業 SQL Server 數據庫中引入相關的附加數據。

本書充滿了清晰的範例和使用案例，提供了開始使用 SQL Server 2019 中的大數據叢集所需的一切。您將學習由 Kubernetes、Spark、HDFS 和 Linux 上的 SQL Server 組成的架構基礎。接著，您將學習如何在本地環境或雲端中配置和部署大數據叢集。然後，您將學習查詢。您將學會使用 Transact-SQL 編寫查詢——利用您多年來磨練的技能——並通過這些查詢，您將能夠檢查和分析來自各種來源的數據，例如 Apache Spark。

通過本書提供的理論基礎以及易於遵循的範例腳本和筆記本，您將準備好使用並揭示 SQL Server 2019 的全部潛力：將分散在不同來源的各類數據結合成一個對商業智慧和機器學習分析有用的單一視圖。

您將學習的內容：

- 在雲端或本地環境中安裝、管理和排除大數據叢集的故障
- 直接從 SQL Server 和/或 Apache Spark 分析大量數據
- 像處理關聯數據一樣管理存儲在 HDFS 中的數據
- 通過機器學習和 AI 實施高級分析解決方案
- 使用數據虛擬化將不同數據來源暴露為單一邏輯來源

本書適合對象：

數據工程師、數據科學家、數據架構師和數據庫管理員，想要在其環境中應用數據虛擬化和大數據分析的人士。

作者簡介

​Ben Weissman is the owner and founder of Solisyon, a consulting firm based in Germany and focused on business intelligence, business analytics, and data warehousing as well as forecasting and budgeting. He is a Microsoft Data Platform MVP, the first German BimlHero, and has been working with SQL Server since SQL Server 6.5. If he is not currently working with data, Ben is probably traveling and exploring the world, running, or enjoying delicious food. You can find Ben on Twitter at @bweissman.
Enrico van de Laar has been working with data in various formats and sizes for over 15 years. He is a data and advanced analytics consultant at Dataheroes where he helps organizations get the most out of their data. He has been a Microsoft Data Platform MVP since 2014 and a frequent speaker at various data-related events all over the world. He writes about a wide variety of Microsoft data-related technologies on his blog at enricovandelaar.com. You can reach Enrico on Twitter at @evdlaar.

作者簡介(中文翻譯)

**Ben Weissman** 是位於德國的顧問公司 Solisyon 的擁有者和創始人，該公司專注於商業智慧、商業分析和數據倉儲，以及預測和預算。他是 Microsoft Data Platform MVP，也是第一位德國的 BimlHero，自 SQL Server 6.5 以來一直在使用 SQL Server。如果他目前不是在處理數據，Ben 可能正在旅行和探索世界、跑步或享受美食。您可以在 Twitter 上找到 Ben，帳號是 @bweissman。

**Enrico van de Laar** 在各種格式和大小的數據領域工作超過 15 年。他是 Dataheroes 的數據和高級分析顧問，幫助組織充分利用其數據。自 2014 年以來，他一直是 Microsoft Data Platform MVP，並且是全球各地數據相關活動的常客演講者。他在自己的部落格 enricovandelaar.com 上撰寫有關各種 Microsoft 數據相關技術的文章。您可以在 Twitter 上聯繫 Enrico，帳號是 @evdlaar。

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